“2016 Summer Seminar for Machine learning”版本间的差异
来自cslt Wiki
| 第8行： | 第8行： | ||
| 2016/07/04 ||Dong Wang || Machine learning overview || Dong Wang || [http://wangd.cslt.org/talks/seminar/2016-sum-ml/chpt1.%20Overview%20of%20Machine%20Learning.pptx slides][http://arch.cslt.org/video/2016/sum-ML/lesson1-2.mp4 video(part 2)][http://cs229.stanford.edu/section/cs229-linalg.pdf Algebra review] [http://cs229.stanford.edu/section/cs229-prob.pdf probability review] [http://cs229.stanford.edu/section/gaussians.pdf Gaussian distribution][http://cs229.stanford.edu/notes/cs229-notes4.pdf Learning theory] | | 2016/07/04 ||Dong Wang || Machine learning overview || Dong Wang || [http://wangd.cslt.org/talks/seminar/2016-sum-ml/chpt1.%20Overview%20of%20Machine%20Learning.pptx slides][http://arch.cslt.org/video/2016/sum-ML/lesson1-2.mp4 video(part 2)][http://cs229.stanford.edu/section/cs229-linalg.pdf Algebra review] [http://cs229.stanford.edu/section/cs229-prob.pdf probability review] [http://cs229.stanford.edu/section/gaussians.pdf Gaussian distribution][http://cs229.stanford.edu/notes/cs229-notes4.pdf Learning theory] | ||
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| − | | 2016/07/05 ||Dong Wang || Linear models || Aiting Liu; Aodong Li|| [http://wangd.cslt.org/talks/seminar/2016-sum-ml/chpt2.%20Linear%20Model.pptx slides][http://arch.cslt.org/video/2016/sum-ML/lesson2-1.mp4 video(part 1)] [http://arch.cslt.org/video/2016/sum-ML/lesson2-2.mp4 video(part 2)] [http://cs229.stanford.edu/notes/cs229-notes1.pdf NG's lecture 1] [http://cs229.stanford.edu/notes/cs229-notes2.pdf NG's lecture 2] | + | | 2016/07/05 ||Dong Wang || Linear models || Aiting Liu; Aodong Li|| [http://wangd.cslt.org/talks/seminar/2016-sum-ml/chpt2.%20Linear%20Model.pptx slides] [http://arch.cslt.org/video/2016/sum-ML/lesson2-1.mp4 video(part 1)] [http://arch.cslt.org/video/2016/sum-ML/lesson2-2.mp4 video(part 2)] [http://cs229.stanford.edu/notes/cs229-notes1.pdf NG's lecture 1] [http://cs229.stanford.edu/notes/cs229-notes2.pdf NG's lecture 2] |
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| 2016/07/08 ||Dong Wang || Neural networks || || [http://wangd.cslt.org/talks/seminar/2016-sum-ml/chpt3.%20Neural%20Network.pptx slides] [http://arch.cslt.org/video/2016/sum-ML/lesson3-1.mp4 video(part 1)] [http://arch.cslt.org/video/2016/sum-ML/lesson3-2.mp4 video(part 2)] | | 2016/07/08 ||Dong Wang || Neural networks || || [http://wangd.cslt.org/talks/seminar/2016-sum-ml/chpt3.%20Neural%20Network.pptx slides] [http://arch.cslt.org/video/2016/sum-ML/lesson3-1.mp4 video(part 1)] [http://arch.cslt.org/video/2016/sum-ML/lesson3-2.mp4 video(part 2)] | ||
| 第22行： | 第22行： | ||
| 2016/07/21 ||Dong Wang || Graphical model (2) ||Jingyi Lin; Ying Shi; Yang Wang||[http://wangd.cslt.org/talks/seminar/2016-sum-ml/chpt8.%20Graphical%20models-2.pptx slides] [http://arch.cslt.org/video/2016/sum-ML/lesson8-1_Graphical_model.m4v video(part 1)] [http://arch.cslt.org/video/2016/sum-ML/lesson8-2_Graphical_model.m4v video(part 2)] [http://wangd.cslt.org/talks/seminar/2016-sum-ml/chapt8/Graphical%20models-learningInference.pptx Yang's slides] [http://wangd.cslt.org/talks/seminar/2016-sum-ml/chapt8/GraphicalModel_Jordan.pdf Jordan's lecture] | | 2016/07/21 ||Dong Wang || Graphical model (2) ||Jingyi Lin; Ying Shi; Yang Wang||[http://wangd.cslt.org/talks/seminar/2016-sum-ml/chpt8.%20Graphical%20models-2.pptx slides] [http://arch.cslt.org/video/2016/sum-ML/lesson8-1_Graphical_model.m4v video(part 1)] [http://arch.cslt.org/video/2016/sum-ML/lesson8-2_Graphical_model.m4v video(part 2)] [http://wangd.cslt.org/talks/seminar/2016-sum-ml/chapt8/Graphical%20models-learningInference.pptx Yang's slides] [http://wangd.cslt.org/talks/seminar/2016-sum-ml/chapt8/GraphicalModel_Jordan.pdf Jordan's lecture] | ||
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| − | | 2016/07/25 ||Dong Wang || Unsupervised learning || ||[http://wangd.cslt.org/talks/seminar/2016-sum-ml/chpt9.%20Unsupervised%20Learning.pptx] [http://mlg.eng.cam.ac.uk/zoubin/papers/ul.pdf Unsupervised Learning from Zoubin Ghahramani, Cambridge] [http://www.mit.edu/~9.54/fall14/slides/Class13.pdf slides from MIT] [https://page.mi.fu-berlin.de/rojas/neural/chapter/K5.pdf Neural Networks - A Systematic Introduction, Raul Rojas] [http://www.cs.bu.edu/fac/gkollios/ada01/LectNotes/Clustering2.ppt slides from BU] [http://web.mit.edu/6.454/www/www_fall_2003/ihler/slides.pdf manifold slides from MIT] | + | | 2016/07/25 ||Dong Wang || Unsupervised learning || ||[http://wangd.cslt.org/talks/seminar/2016-sum-ml/chpt9.%20Unsupervised%20Learning.pptx slides] [http://mlg.eng.cam.ac.uk/zoubin/papers/ul.pdf Unsupervised Learning from Zoubin Ghahramani, Cambridge] [http://www.mit.edu/~9.54/fall14/slides/Class13.pdf slides from MIT] [https://page.mi.fu-berlin.de/rojas/neural/chapter/K5.pdf Neural Networks - A Systematic Introduction, Raul Rojas] [http://www.cs.bu.edu/fac/gkollios/ada01/LectNotes/Clustering2.ppt slides from BU] [http://web.mit.edu/6.454/www/www_fall_2003/ihler/slides.pdf manifold slides from MIT] |
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| 2016/07/26 ||Dong Wang || Non parametric models ||Maoning Wang; || [http://cs229.stanford.edu/section/cs229-gaussian_processes.pdf Gaussian process] | | 2016/07/26 ||Dong Wang || Non parametric models ||Maoning Wang; || [http://cs229.stanford.edu/section/cs229-gaussian_processes.pdf Gaussian process] | ||
2016年7月25日 (一) 09:25的版本
- Location: FIT-1-304
| Date | Speaker | Title | Owner | Materials |
|---|---|---|---|---|
| 2016/07/04 | Dong Wang | Machine learning overview | Dong Wang | slidesvideo(part 2)Algebra review probability review Gaussian distributionLearning theory |
| 2016/07/05 | Dong Wang | Linear models | Aiting Liu; Aodong Li | slides video(part 1) video(part 2) NG's lecture 1 NG's lecture 2 |
| 2016/07/08 | Dong Wang | Neural networks | slides video(part 1) video(part 2) | |
| 2016/07/11 | Dong Wang | Deep learning (1) | Hang Luo; Jiyuan Zhang; Zhiyuan | slides video(part 1) video(part 2) NIPS 2015 tutorial |
| 2016/07/12 | Dong Wang | Deep learning (2) | Hang Luo; Jiyuan Zhang; Zhiyuan | slides video(part 1) video(part 2) Li Deng's ICASSP16 keynote |
| 2016/07/13 | Caixia Wang | Kernel methods | Caixia;Ziwei | slides video Kernel method book pattern recognition 6-7 |
| 2016/07/18 | Yang Feng | Graphical model (1) | Jingyi Lin; Ying Shi; Yang Wang | slides video |
| 2016/07/21 | Dong Wang | Graphical model (2) | Jingyi Lin; Ying Shi; Yang Wang | slides video(part 1) video(part 2) Yang's slides Jordan's lecture |
| 2016/07/25 | Dong Wang | Unsupervised learning | slides Unsupervised Learning from Zoubin Ghahramani, Cambridge slides from MIT Neural Networks - A Systematic Introduction, Raul Rojas slides from BU manifold slides from MIT | |
| 2016/07/26 | Dong Wang | Non parametric models | Maoning Wang; | Gaussian process |
| 2016/07/27 | Dong Wang | Reinforcement learning | ||
| 2016/07/28 | Maoning Wang | Evolutionary learning | Maoning Wang; | |
| 2016/07/29 | Dong Wang | Optimization | Caixia; | Convex optimization I Convex optimization II |
